METEOR-NEXT [1]} was proposed to better correlate with HTER (Human-targeted Translation Edit Rate – HTER
[2]}).
HTER is a semi-automatic post-editing based metric, which measures the edit distance between a hypothesis and a reference.
METEOR-NEXT proposes to go further than just word-to-word alignment by using phrase-to-phrase alignments.
For this, phrase databases were created for
several languages like English [3]}, German, French or Czech
[4]}. More recently, another version called METEOR Universal used bitexts to extract paraphrases [5]}.
